Google announced new Apache Iceberg interoperability features for BigQuery, including a preview of a serverless Iceberg REST catalog. Teams can create, update, and query the same Iceberg tables in BigQuery and in engines such as Spark, Flink, and Trino without duplicating data. The preview supports multiple tools working on the same datasets without copying data or using proprietary formats. Google also introduced managed support for metadata, table maintenance, and synchronization tasks that are commonly handled manually in Iceberg deployments. Google expanded Iceberg interoperability into a cross-cloud lakehouse, enabling querying of Iceberg catalogs across AWS, Azure, Databricks, and Snowflake, and supporting AI workflows. The goal is to keep data in open formats while using different processing and analytics tools on the same datasets.
"The preview of the serverless Iceberg REST catalog lets teams create, update, and query the same Apache Iceberg tables in BigQuery and in engines like Spark, Flink, and Trino without duplicating data. The preview allows multiple tools to work on the same datasets without copying data or relying on proprietary formats."
"The cloud provider also introduced managed support for metadata, table maintenance, and synchronization tasks commonly handled manually in Iceberg deployments. Google argues that many teams using Apache Iceberg still face higher costs and operational complexity compared with fully managed data platforms, especially for streaming data, replication pipelines, and governance across multiple tools."
"At the recent Next '26, Google has expanded Iceberg interoperability into a cross-cloud lakehouse, supporting querying of Iceberg catalogs across AWS, Azure, Databricks, and Snowflake, as well as AI workflows. According to Google, the overall goal is to enable organizations to keep data in open formats while using different processing and analytics tools on the same datasets."
"To address this, Google is extending its BigQuery infrastructure to support Iceberg tables, including managed metadata, automatic table maintenance, transactions, and change data replication. Zhovtobryukh and Soares add: "Previously, customers building lakehouses chose between Iceberg tables in the Google-managed Iceberg REST catalog or tables ma""
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